Network|wide risk convergence in gene co|expression identifies ...

Network-wide risk convergence in gene co-expression identifies ...

Summary. The omnigenic model posits that genetic risk for traits with complex heritability involves cumulative effects of peripheral genes on ...

expression identifies reproducible genetic hubs of schizophrenia risk

Network-wide risk convergence in gene co- expression identifies reproducible genetic hubs of schizophrenia risk. Highlights d. We test risk ...

Network-wide risk convergence in gene co-expression identifies ...

Network-wide risk convergence in gene co-expression identifies reproducible genetic hubs of schizophrenia risk · Christopher Borcuk · Madhur Parihar · Leonardo ...

Network-wide risk convergence in gene co-expression identifies ...

The omnigenic model posits that genetic risk for traits with complex heritability involves cumulative effects of peripheral genes on mechanistic “core genes ...

Network-wide risk convergence in gene co-expression identifies ...

Network-wide risk convergence in gene co-expression identifies reproducible genetic hubs of schizophrenia risk ... To read the full-text of this research, you can ...

LieberInstitute/ANCR: Scripts for "Network-wide risk convergence in ...

Scripts for "Network-wide risk convergence in gene co-expression identifies reproducible genetic hubs of schizophrenia risk" - LieberInstitute/ANCR.

Psychiatric Genomics Bot on X: "Network-wide risk convergence in ...

Network-wide risk convergence in gene co-expression identifies reproducible genetic hubs of schizophrenia risk https://t.co/oxo9LnWLu6.

Brain gene co-expression networks link complement signaling with ...

Edges represent Pearson's correlation coefficient (PCC) > 0.5 and edge weights represent the strength of the correlation. Probable SCZ risk genes implicated by ...

Consensus molecular environment of schizophrenia risk genes in ...

We thus assessed the reproducibility of coexpression gene sets and identified genes that are typically coexpressed with SCZ risk genes, with the ...

hdWGCNA identifies co-expression networks in high-dimensional ...

The sparsity and noise inherent in single-cell data can lead to spurious gene-gene correlations, thereby complicating co-expression network ...

Genetic risk converges on regulatory networks mediating early type ...

genome-wide ... gene co-expression network analysis (WGCNA) (Supplementary Fig. ... T2D donors were identified using a national network ...

GeneFriends: gene co-expression databases and tools for humans ...

Tissue-specific co-expression modules may not be detectable in a co-expression network constructed from multiple tissues or conditions because ...

Weighted gene co-expression network analysis identifies key hub ...

Methods: We used Weighted Gene Co-Expression Network Analysis (WGCNA) to identify co-expressed gene modules significantly correlated with human ...

Investigating trait variability of gene co-expression network ... - PLOS

Genetic risk for schizophrenia (SCZ) is linked to brain connectivity at multiple levels, from molecular interactions to coherent cognitive ...

Convergent and divergent genes expression profiles associated ...

Secondly, weighted gene co-expression network analysis (WGCNA) was performed to identify the transcription-neuroimaging association between BWAS ...

Dynamic changes in immune gene co‑expression networks predict ...

The result of one study8 identified an interferon regulatory factor-7 (IRF7)-driven inflammatory network module associated with T1D risk. While prior studies ...

A gene co-expression network-based analysis of multiple brain ...

We provide a framework for the identification of individual risk genes and gene co-expression networks using genome-wide association summary statistics and gene ...

Genomic convergence and network analysis approach to identify ...

Further, in case of gene expression studies, identified genes are expected to contain a mix of causal and the differentially expressed genes ...

A convergent molecular network underlying autism and congenital ...

As a quantitative means of scoring network proximity among a set of disorder risk genes, we turned to the framework of network propagation, a ...

Gene co-expression analysis for functional classification and gene ...

One method to infer gene function and gene–disease associations from genome-wide gene expression is co-expression network analysis (Figure 1), ...